3 papers
cs.CV2026
Self-Supervised Tree-level Biomass Estimation in Urban Environments From Airborne LiDAR and Optical Observations
Jose Bermudez, Zilong Zhong, Dominic Cyr +2
Urban tree biomass remains less spatially explicitly quantified than biomass in managed forests because many estimates rely on inventories or coarse products that cannot resolve in…
cs.CV2024
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
Jose B. Castro, Cheryl Rogers, Camile Sothe +2
Accurate forest canopy height estimation is essential for evaluating aboveground biomass and carbon stock dynamics, supporting ecosystem monitoring services like timber provisionin…
physics.ao-ph2023
Detangling the role of climate in vegetation productivity with an explainable convolutional neural network
Ricardo Barros Lourenço, Michael J. Smith, Sylvia Smullin +3
Forests of the Earth are a vital carbon sink while providing an essential habitat for biodiversity. Vegetation productivity (VP) is a critical indicator of carbon uptake in the atm…